CN103620607A

CN103620607A - Processing data of a user performing an athletic activity to estimate energy expenditure

Info

Publication number: CN103620607A
Application number: CN201180067478.0A
Authority: CN
Inventors: T·阿拉格尼斯; C·赛尔夫; W·沃林; J·泽维尔; G·诺思科特
Original assignee: Nike International Ltd
Current assignee: Nike Innovation LP
Priority date: 2010-12-13
Filing date: 2011-12-13
Publication date: 2014-03-05
Anticipated expiration: 2031-12-13
Also published as: CN103620607B; CN107277453A; KR101538247B1; EP2652658A1; JP6346130B2; JP5798198B2; CA2821274A1; KR20130116898A; CN107277453B; WO2012082782A1; EP2652658B1; JP2015231565A; CA2821274C; JP2014502527A; BR112013014835A2

Abstract

Example embodiments may relate to a system, method, apparatus, and computer readable media configured for prompting a user to perform an exercise, monitoring form of the user while performing the exercise, and calculating an energy expenditure estimate for the user performing the exercise based on a type of the exercise and on the form of the user.

Description

Processing is carried out user's the data of motor activity with estimated energy consumption

The cross reference of related application

The application is the U.S. Patent application No.13/290 that is entitled as " system and method (Method and System for Automated Personal Training) of individual training system automatically " submitting on November 7th, 2011, 359, the U.S. Patent application No.13/304 that is entitled as " system and method (Method and System for Automated Personal Training That Includes Training Programs) that comprises the automatic individual training of training program " that on November 23rd, 2011 submits to, the U.S. Patent application No.13/304 that is entitled as " fatigue exponent and its use (Fatigue Indices and Uses Thereof) " that on November 23rd, 064 and 2011 submits to, 056 part continuation application.The application requires rights and interests and the right of priority of following U.S. Provisional Patent Application: 61/422 of submission on Dec 13rd, 2010,511,61/432 of submission on January 13rd, 2011,472, the No.61/433 submitting on January 18th, 2011,792, its each be entitled as " method and system (Method and System for Automated Personal Training) of individual training automatically ".The content of each of this provisional application mode is by reference herein incorporated, for any and whole non-limiting objects.

Background technology

Although most people understand healthy importance, many people are difficult to find the needed power of the conventional degree of physical exercise of maintenance.Some are difficult to keep relating to the exercising way that continues the action that repeats especially, and this comprises running, walking and by bike.

Additionally, individuality can be regarded exercise as work or daily miscellaneous affair, and thus it is separated from their the enjoyment aspect of daily life.Conventionally, the separation between this motor activity and other activities has reduced the individual amount for the excitation of taking exercise that may have.Towards encouraging individual motor activity service and the system that participates in motor activity, also may, about paying close attention to one or more specific activities, but ignore individual interest.This also can reduce the interest that user participates in motor activity or uses motor activity service and system.

Therefore, wish to have the improved system and method for solution these and other weakness.

Summary of the invention

Hereinafter provide the general introduction of simplifying, so that the basic understanding about aspects more of the present disclosure to be provided.This general introduction is not intended to as detailed summary of the present disclosure.It is not intended to determine key of the present disclosure or decisive element, or sketches the contours of the scope of the present disclosure.General introduction hereinafter has only been shown concepts more of the present disclosure with the reduced form of the preorder of description hereinafter.

Aspect of the present disclosure relates to processes the data of obtaining when user carries out motor activity, to determine exemplarily the estimation such as the energy consumption of calorie quantity consuming.

Exemplary embodiment can relate to system, method, device and computer-readable medium, and it is configured to reminding user and performs physical exercise, monitors the energy consumption estimation that the user's who performs physical exercise the bodily form and the type based on taking exercise and user's the bodily form calculate the user who performs physical exercise.In other embodiments, consume to estimate can be exemplarily for or comprise the caloric estimation being consumed by user.In certain embodiments, energy consumption calculations comprises and following relevant determining: the oxygen of making great efforts, consuming and/or user's oxygen dynamics.

In all fields, system, method, device and/or calculate machine engraving computer-readable recording medium can be configured to process gather on the time interval, carry out the user's of motor activity data, and determine this time phase first constantly and second moment locate the position of barycenter of user's body part, body region and whole health.In other respects, system, method, device and/or computer-readable medium can be configured to be determined from first constantly to the second variation of the position of barycenter constantly, and calculates the user's who causes due to this variation energy consumption estimation.

By in the disclosure, discuss by reference to the accompanying drawings embodiment these and other aspect.

Accompanying drawing explanation

Show by way of example and without limitation in the accompanying drawings the disclosure, Reference numeral similar in described accompanying drawing penetratingly represents similar element, and therein:

Figure 1A-B show according to exemplary embodiment for the example of the system of individual training is provided, wherein Figure 1A shows the example networks that is configured to monitoring moving activity, and Figure 1B shows the example calculation device according to exemplary embodiment.

Fig. 2 A-B shows the exemplary sensor module that can be worn by user according to exemplary embodiment.

Fig. 3 shows according to exemplary embodiment bodily form of user when taking exercise and counts the exemplary process diagram of calculating the method that user's energy consumes as a part of estimating.

Fig. 4 shows the example fractional about the health of the user in exercise period monitoring according to exemplary embodiment.

Fig. 5 shows the exemplary posture evaluation according to exemplary embodiment.

Fig. 6 shows the exemplary screen display for user's avatar of performing physical exercise according to exemplary embodiment.

Fig. 7 A-B shows the exemplary screen display for user's avatar of performing physical exercise according to exemplary embodiment.

Fig. 8 shows the exemplary process diagram of method of energy consumption estimation that according to the exemplary embodiment change calculations based on monitoring potential energy is carried out the user of motor activity.

Fig. 9,10A-B and 11 show according to the exemplary position of the barycenter of exemplary embodiment user's avatar.

Embodiment

In description for each embodiment, with reference to accompanying drawing, described accompanying drawing has formed a part herein hereinafter, and is wherein illustrated in by way of example each embodiment that wherein can implement aspect of the present disclosure.Should understand also and can use other embodiment, and can carry out structure and functional modification and not deviate from scope of the present invention.In addition, the title in the disclosure should not be considered the restriction to aspect of the present disclosure.Benefit from the disclosure, it will be appreciated by those skilled in the art that exemplary embodiment is not limited to exemplary title.

I. exemplary individual training system

A, example calculation device

Figure 1A shows according to the example of the individual training system 100 of exemplary embodiment.Example system 100 can comprise one or more electronic installations, such as computing machine 102.Computing machine 102 can comprise mobile terminal, such as phone, music player, panel computer, net book or any mancarried device.In other embodiments, computing machine 102 can comprise Set Top Box (STB), desktop computer, (one or more) digital VTR (DVR), (one or more) computer server and/or the calculation element of other hope arbitrarily.In specific structure, computing machine 102 can comprise game host, for example

xBOX,

playstation, and/or

wii game host.It will be appreciated by those skilled in the art that these are only exemplary host for the purpose of description, and the disclosure is not restricted to any main frame or device.

Go to Figure 1B, computing machine 102 can comprise computing unit 104, and it can comprise at least one processing unit 106.Processing unit 106 can be the treating apparatus for any type of executive software instruction, for example, can be exemplarily micro processor, apparatus.Computing machine 102 can comprise multiple non-volatile computer-readable medium, such as storer 108.Storer 108 can include but not limited to, such as the random access storage device (RAM) of RAM110 with such as the ROM (read-only memory) (ROM) of ROM112.Storer 108 can comprise following arbitrarily: Electrically Erasable Read Only Memory (EEPROM), flash memory or other memory technologies, CD-ROM, digitizing multi-usage CD (DVD) or other optical disc memorys, magnetic memory apparatus or arbitrarily other media that can be used for storage information and accessed by computing machine 102.

Processing unit 106 can directly or be indirectly connected (by the communication structure of bus 114 or replacement) to one or more peripheral hardwares with system storage 108.For example, processing unit 106 or system storage 108 can directly or indirectly be connected to additional storage memory, such as hard disk drive 116, removable disc driver 117, CD drive 118 and flash card 121.Processing unit 106 and system storage 108 also can directly or indirectly be connected to one or more input medias 120 and one or more input media 122.Output unit 122 can for example comprise monitor scope, TV, printer, sound equipment or loudspeaker.In certain embodiments, one or more display device can and pleasing to the eye wearing in part.And pleasing to the eye display device of wearing in part can provide and feeds back to user.The eye that is incorporated to one or more display device is worn part and just also can be provided to portable display system.Input media 120 can for example comprise keyboard, touch-screen, far-end control panel, pointing device (such as mouse, touch pad, pointer, trace ball or operating rod), scanner, video camera or microphone.About this, input media can comprise one or more sensors, and it is configured to from user awareness, detection and/or measures motion and move, such as user 124, as shown in Figure 1A.

Referring again to Figure 1A, can by image capture device 126 and/or sensor 128 for detection of and/or the motion of measuring user 124 move.In one embodiment, obtain the image capture device 126 of data or sensor 128 can direct-detection motion mobile, the data of obtaining from image capture device 126 or sensor 128 are directly associated with kinematic parameter.Exemplarily, and with reference to Fig. 4, the distance that can detect between

sensing station

402g and 402i from the view data of image capture device 126 reduces, and image capture device 126 self can be configured to the right arm 124 that detects user and moved.But, in other embodiments, from the use that can be combined of the data of image capture device 126 and/or sensor 128, though be combination with one another or and other sensor combinations, to detect and/or to measure movement.Therefore, can determine specific measured value from the data splitting obtaining from two or more devices.Image capture device 126 and/or sensor 128 can comprise or operatively be connected to one or more sensors, include but not limited to: accelerometer, gyroscope, locating device (for example GPS), optical sensor, temperature sensor (comprising environment temperature and/or body temperature), heart rate monitor, picture catching sensor, humidity sensor and/or above combination.The exemplary use of illustrative sensors 126,128 provides in being below entitled as the chapters and sections I.C of " illustrative sensors ".Computing machine 102 also can be determined the position that user gives directions with touch-screen or image capture device, to select from graphic user interface.One or more embodiment can be used one or more wired and/or wireless technologys, and wherein the example of wireless technology comprises bluetooth

technology, bluetooth

low-yield technology and/or ANT technology.

B. example networks

A step ground more, computing machine 102, computing unit 104 and/or arbitrarily other electronic installations can be directly or are indirectly connected to one or more network interfaces, such as example interface 130(shown in Figure 1B), with the network service with such as network 132.In the example of Figure 1B, network interface 130 can comprise network adapter or socket card (NIC), according to one or more communication protocol, be configured as and convert the data from computing unit 104 and control signal to the network information, these communication protocols such as transmission control protocol (TCP), Internet protocol (IP) and User Datagram Protocol (UDP).These agreements are known in the art, and therefore will at this, at large not discussed.Interface 130 can adopt the connection intermediary of any appropriate to be connected to network, and this comprises that for example wireless transceiver, power lead adapter, modulator-demodular unit or Ethernet connect.But, network 132 can be there is any type (one or more) or topological structure (one or more), one or more information distributed networks independent or that become (one or more) of combination, such as (one or more) internet, (one or more) in-house network, (one or more) cloud, (one or more) LAN (Local Area Network).Network 132 can be cable, optical fiber, satellite, cell phone, one or more in wireless etc.Network is known in the art, and will no longer at this, repeat thus.Network 132 can be configured by of all kinds, such as thering are one or more limited or radio communication channels, for example, (to be connected to one or more positions, school, business, family, consumption residence, Internet resources etc.), to one or more far-end servers 134, or to other computing machines, such as similar or identical with computing machine 102.In fact, system 100 can comprise each more than one parts (for example, more than one computing machine 102, more than one display 136 etc.).

No matter the computing machine 102 in network 132 or other electronic installations are of portable form or are in fixing position, to understand, except input, output and the storage peripheral unit above specifically listed, calculation element can be connected to (such as directly or by network 132) multiple other peripheral unit, comprise can input, output or memory function those, or its combination.In certain embodiments, the one or more parts of single assembly shown in can integrated Figure 1A.Exemplarily, single assembly can comprise computing machine 102, image capture device 126, sensor 128, display 136 and/or additional parts.In one embodiment, sensor device 138 can comprise there is display screen 136, the mobile terminal of image capture device 126 and one or more sensor 128.But in other embodiments, image capture device 126 and/or sensor 128 can be the peripheral unit that is configured to operatively be connected to media apparatus, described media apparatus is for example played or media system.Thus, seen from the foregoing, the disclosure is not limited to fixed system and method.But specific embodiment can almost implemented in optional position by user 124.

C. illustrative sensors

Computing machine 102 and/or other devices can comprise one or more sensors 126,128 of at least one the physical efficiency parameter that is configured to detection and/or monitor user ' 124.Sensor 126,128 can include but not limited to: accelerometer, gyroscope, locating device (for example GPS), optical sensor, temperature sensor (comprising environment temperature and/or body temperature), heart rate monitor, picture catching sensor, humidity sensor and/or above combination.Network 132 and/or computing machine 102 can be communicated by letter with one or more electronic installations of system 100, this for example exemplarily comprises display 136, image capture device 126(, one or more video cameras) and sensor 128, it can be infrared (IR) device.In one embodiment, sensor 128 can comprise IR transceiver.For example, sensor 126 and/or 128 can transmitted waveform to environment, comprise towards user 124 direction and reception " reflection " or otherwise detect the change of these waveforms that send.In other embodiment in addition, image capture device 126 and/or sensor 128 can be configured to transmitting and/or receive other wireless signals, such as radar, sonar and/or auditory information.Those skilled in the art can use the signal corresponding to a plurality of different data spectrums easily understanding according to each embodiment.Based on this, sensor 126 and/or 128 can detect the waveform for example, sending from external source (, nonsystematic 100).Exemplarily, sensor 126 and/or 128 can be monitored the heat sending from user 124 and/or surrounding environment.Therefore, image capture device 126 and/or sensor 128 can comprise one or more thermal imaging devices.In one embodiment, image capture device 126 and/or sensor 128 can comprise and be configured to carry out range determination (range phenomenology).As non-limiting example, the image capture device that is configured to carry out range determination can be from Portland, the Flir Systems of Oregon, and Inc. buys.Although image capture device 126 and sensor 128 and display 136 be depicted as with computing machine 102 directly (through a cable or wirelessly) communicate by letter, (through a cable or wirelessly) communicates by letter to it will be appreciated by those skilled in the art that any device can be direct with network 132.

1. multifunctional electronic device

User 124 can hold, carries and/or dress the electronic installation of any amount, comprises sensing device 138,140,142 and/or 144.In certain embodiments, one or more devices 138,140,142,144 can not manufactured for body-building or motion purposes especially.In fact, aspect of the present disclosure relates to the data utilized from a plurality of devices to gather, to detect and/or to measure exercise data, and some in the plurality of device are not body-building device.In one embodiment, install 138 and can comprise portable electron device, such as phone or digital music player, comprise from Cupertino, the Apple company of Californiao is commercially available

or

or from Redmond, the Microsoft of Washington is commercially available

or

windows device.As known in the art, digital music player can be used as the output unit (for example,, by the music output from audio files or by the image output from image file) of computing machine and memory storage both.In one embodiment, install 138 and can be computing machine 102, and in other embodiments, computing machine 102 can be different from device 138 completely.Whether no matter install 138, be configured to provide specific output, it can be used as input media, to receive heat transfer agent.Device 138,140,142 and/or 144 can comprise one or more sensors, and this includes but not limited to accelerometer, gyroscope, locating device (for example GPS), optical sensor, temperature sensor (comprising environment temperature and/or body temperature), heart rate monitor, picture catching sensor, humidity sensor and/or above combination.In certain embodiments, sensor can be passive type, such as can be by image capture device 126 and/or sensor 128(and other) reflecting material that detects.In certain embodiments, sensor 144 can merge and enters in dress ornament, such as motion clothing.For example, user 124 can wear (on-body) sensor 144a-b on one or more bodies.Sensor 144 can be merged in the clothing of access customer 124 and/or be arranged in the position of any hope of user 124 health.Sensor 144 can be communicated by letter with computing machine 102, sensor 128,138,140 and 142 and/or camera 126.The U.S. Patent application No.10/286 submitting on October 30th, 2002,396(is disclosed as the open No.2004/0087366 of United States Patent (USP)) in, the example of having described interactivity game dress ornament, its content mode is by reference herein incorporated, for any and whole non-limiting objects.In certain embodiments, passive type sensing surface can reflection configuration, such as the infrared light by image capture device 126 and/or sensor 128 transmittings.In one embodiment, be positioned at passsive sensor on user 124 dress ornament can comprise can reflection configuration by glass or other transparent or semitransparent surface make overall chondritic.Can use the dress ornament of different brackets, wherein the dress ornament of given grade has specific sensor, and it is configured to orientate as the specific part near user 124 health when wearing rightly.Exemplarily, golf dress ornament can comprise the one or more sensors on the dress ornament being arranged in the first structure, and football dress ornament can comprise the one or more sensors on the dress ornament being arranged in the second structure.

Device 138-144 can communicate with one another, directly or by such as the network of network 132.Communication between one or more device 139-144 can be communicated by letter by computing machine 102.Exemplarily, two or more devices 138-144 can be the peripheral unit of the bus 114 that may be operably coupled to computing machine 102.In other embodiment in addition, such as device 138 first device, can and communicate by letter such as other devices of device 142 with the first computing machine such as computing machine 102, but, install 142 and can not be configured to be connected to computing machine 102, but can communicate by letter with device 138.The structure that it will be appreciated by those skilled in the art that other is also possible.

Some embodiments of exemplary embodiment alternatively or additionally adopt the calculation element (for example desk-top computer or notebook-sized personal computer) of the function that is intended to can be used in wide region.These calculation elements can have the combination in any of peripheral hardware or additional member on demand.And the parts shown in Figure 1B can be included in server 134, other computing machines, it is medium to install.

2. exemplary dress ornament/accessory sensor

In certain embodiments, sensing device 138,140,142 and/or 144 can be formed in user 124 clothing or annex or be otherwise associated with it, and annex comprises wrist-watch, arm band, wrist strap, necklace, shirt, footwear etc.Footwear are installed and the example of wrist carried device (being respectively device 140 and 142) is described hereinafter at random, and still, it is only exemplary embodiment, and the disclosure should not be limited so far.

I. footwear erecting device

In certain embodiments, sensing device 140 can comprise article of footwear, and it can comprise one or more sensors, and this includes but not limited to: accelerometer, such as location sensitive parts and/or the force sensor system of GPS.Fig. 2 A shows an exemplary embodiment of sensing system 202.In certain embodiments, system 202 can comprise sensory package 204.Assembly 204 can comprise one or more sensors, such as accelerometer, position determining component and/or power sensor.In the illustrated embodiment, assembly 204 is incorporated to a plurality of sensors, and it can comprise force sensing resistance (FSR) sensor 206.In other embodiment in addition, can use other sensors (one or more).Port 208 can be arranged in the footwear sole construction 209 of footwear.Port 208 can be set to alternatively with electronic module 210(its can be in housing 211) and a plurality of lead-in wires 212 that FSR sensor is connected to port 208 are communicated by letter.Module 210 can be accommodated in the well portion or chamber portion in the footwear sole construction of footwear.Port 208 and module 210 comprise complementary interface 214,216, for connecting and communicating by letter.

In certain embodiments, at least one force sensing resistance 206 shown in Fig. 2 A can comprise the first and second electrodes or electrical contacts 218,220 and force sensing resistance material 222, and it is arranged between electrode 218,220, so that electrode 218,220 is electrically connected.When pressure is applied to force-sensitive material 222, resistance and/or the electricity of force-sensitive material 222 are led variation, and it has changed the electromotive force between electrode 218,220.The change of resistance can be detected by sensing system 202, to detect the power being applied on sensor 216.Force sensing resistance material 222 can change its resistance in many ways under pressure.For example, force-sensitive material 222 can have the internal resistance reducing when material is compressed, and it is similar that the quantum tunneling compound substance arriving is described in detail in detail hereinafter.The further compression of this material can further reduce resistance, allows measures of quantization, and bifurcation (ON/OFF) is measured.In some cases, the force sensing resistance shape of the type is for can be described as " resistance based on volume ", and shows the material that this shape is and can be known as " intellectual material ".As another example, material 222 can change resistance by the degree of change face-face contact.This can several mode realize, for example, and by using microprotrusion portion from the teeth outwards, its surface resistance that raises in not subjected to pressure condition, wherein surface resistance reduces when lug boss is not compressed, and by using flexible electrode, it can be deformed to produce with the face-face of the increase of another electrode and contact.This surface resistance can be resistance and/or the conductive layer (for example, carbon/graphite) of multilayer material 222 and for example, the surface resistance between the quick layer of power (, semiconductor) between material 222 and electrode 218,220.Compress greatlyr, the contact of face-face is larger, causes lower resistance and allows measures of quantization.In some cases, the force sensing resistance shape of the type is for being described " resistance based on contact ".The force sensing resistance material 222 that should understand herein definition can be or comprises doping or non-doped semiconductor materials.

The electrode 218,220 of FSR sensor 216 can be made by any conductive material, comprises metal, carbon/graphite fiber or compound substance, other conducing composite materials, conducting polymer or containing the polymkeric substance of conductive material, conductivity ceramics, doped semiconductor or other conductive materials arbitrarily.Lead-in wire 212 can be connected to by the method for any appropriate electrode 218,220, comprises welding, soldering, brazing, adhesive bond, securing member or other monoblock types or non-integral type joint method arbitrarily.Alternatively, electrode 218,220 can be made by the identical material 222/224 of single-piece with relevant lead-in wire (one or more) 212.

Ii. wrist device

As shown in Figure 2 B, device 226(its can imitate or be the similar sensing device 142 shown in Figure 1A) can be configured to and worn by user 124, such as thorny wrist, arm, ankle etc.Device 226 can monitor user ' motion move, comprise user 124 whole day activity.Thus, device assembly 226 can be the cross neutralization of user 124 and computing machine 102/or it be mobile to detect motion while being independent of computing machine 102 operation.For example, in one embodiment, no matter install 226, can be the degree of closeness of user and computing machine 102 or mutual, and the whole day activity monitor of measurement activity.Device 226 can directly be communicated by letter with network 132 and/or other devices, such as device 138 and/or 140.In other embodiments, from installing definite that 226 exercise datas that obtain can be used for being undertaken by computing machine 102, for example, which exercise event to be presented to relevant the determining of user 124 with.In one embodiment, installing 226 also can be wirelessly mutual with mobile device, such as the device 138 being associated with user 124 or such as the far-end website that is exclusively used in the website of body-building or healthy related subject.In some predetermined moment, user may wish data to be transferred to another location from this device 226.

As shown in Figure 2 B, install 226 and can comprise such as the input mechanism that can press enter key 228, with the operation of servicing unit 226.Enter key 228 may be operably coupled to controller 230 and/or other electronic units arbitrarily, one or more elements of discussing such as the computing machine 102 with about shown in Figure 1B.Controller 230 can be embedded in housing 232 or be called a part for housing 232.Housing 232 can be made by one or more materials, comprises elastomer member and comprises one or more displays, such as display 234.What this display can be regarded device 226 as can luminous component.Display 234 can comprise a series of independent light-emitting components or lamp part, in the exemplary embodiment such as being LED lamp 234.LED lamp can form and operatively be connected to controller 230 by array.Device 226 can comprise designation system 236, and it also can regard a part or the member of overall display 234 as.To understand designation system 236 can operate, and it can have pixel component 235 with display 234() together with luminous, or it is luminous to be totally independent of display 234.Designation system 236 also can comprise a plurality of additional light-emitting components 160 or lamp part 238, and it can shape be also LED lamp in the exemplary embodiment.In certain embodiments, designation system 236 can provide the visual cues of target, such as by lighting a part for illuminated component 238, to represent the progress towards one or more targets.

Retention mechanism 240 can be untied bolt-lock, wherein installs 226 wrists that can be arranged as around user 124, and retention mechanism 240 can be arranged in bolt-lock position then.If required, user can institute carried device 226 all if having time.In one embodiment, retention mechanism 240 can comprise interface (such as but not limited to USB port), for computing machine 102 and/or install 138,140 operationally mutual.

In certain embodiments, install 226 and can comprise sensor module (not shown in Fig. 2 B).Sensor module can comprise a plurality of different sensors.In the exemplary embodiment, sensor module can comprise or allow operability to be connected to accelerometer (comprising the form with multiaxial type accelerometer), heart rate sensor, location positioning sensor (such as GPS sensor) and/or other sensors.The movement detecting or parameter from device 142 sensor (one or more) can comprise (or being used to form) multiple different parameter, index or physiological property, include but not limited to speed, distance, advance step number and such as in Carlow, energy consumption and/or the oxygen dynamics of the oxygen of heart rate, perspiration detection, acting force, consumption.Such parameter also can movable be counted or the currency of the earning of the activity based on user by user is that unit represents.

I. exemplary motion monitoring method

System 100 can be carried out one or many exercise by reminding user, and during performing physical exercise, monitor user ' moves and the user that moves to based on them provides energy consumption estimation.System 100 can analysis user the bodily form to determine whether user is carrying out the more or less exercise of difficulty, and correspondingly adjusting energy consumption is estimated.Energy consumption estimation can be or comprises the caloric estimation being consumed by user.In certain embodiments, energy consumption estimation can be based on a number system and/or as counting system expression.In one embodiment, calorie is convertible into a number system, but in other embodiments, can in one or more somes number systems, directly obtain measured value.In one embodiment, count can be based in activity: the bodily form, health move and/or the completing of specific activities.In embodiment in addition, energy consumption calculations comprises and following relevant determining: the oxygen of acting force, consumption and/or user's oxygen dynamics.In one embodiment, computing machine 102, camera 126, sensor 128 and display 136 can be implemented in the boundary in user residence, but can predict other positions that comprise gymnasium and/or place of business.And as mentioned above, computing machine 102 can be mancarried device, such as cell phone, therefore, one or more aspects discussed herein can almost carried out in optional position.Based on this, in the background of implementing in the exemplary elements by one or more systems 100, exemplary embodiment of the present disclosure is discussed.It will be understood by those skilled in the art that to quoting of specific member (such as computing machine 102) and be not intended to as restrictive, but for the illustrated examples of in multiple possible embodiment is provided.Therefore, although can apply specific member, what suppose is other members that can use system 100, unless specially explanation or physically infeasible.In addition, aspect disclosed herein is not restricted to example system 100.

A. monitor user ' moves

When taking exercise, system 100 can be used one or more technical monitorings user to move.Fig. 3 shows according to exemplary embodiment bodily form of user when taking exercise and counts the exemplary process diagram of method of calculating user's energy consumption estimation as a part of estimating.The method can be by computer-implemented, for example exemplarily, computing machine 102, installs 138,140 and/or 142, and/or other devices.Piece shown in Fig. 3 can be re-arranged, and some pieces can be removed, and can add additional piece, and each piece can repeat one or many, and process flow diagram can repeat one or many.Process flow diagram can start at piece 302 places.

1. carry out user's assessment

In piece 302, method can comprise the initial evaluation that carries out user.User such as user 124 can be arranged in the scope of sensor, and for example, in the place ahead of image capture device 126 and/or sensor 128, it can comprise infrared transceiver.Display 136 can illustrate user 124 image, and it can be " mirror image " or avatar is shown, and such as User avatar, it moves corresponding to user's movement.Computing machine 102 can move into respect in image capture device 126 and/or the specific region with respect to infrared transceiver 128 by reminding user, thereby user is arranged in framework and/or scope.When arranging rightly, system 100 can be processed user's movement.Although used term " initially ", this evaluation can start system 100 each user, specifically move, after time warp or for any other reasons, occurs.Therefore, quoting of evaluation is not limited to single evaluation herein.

A. identify sensing location

System 100 can be processed sensing data with identification user Mobile data.In one embodiment, can determine the sensing location on user's health.By with reference to Fig. 4, sensing location 402a-402o can corresponding to the location of interest on user 124 health (such as, ankle, ancon, shoulder etc.).For example, the image of the video of record (for example, from camera 126) can be used for identifying sensing location 402a-402o.Exemplarily, user can stand on apart from the specific distance of camera 126 (it may or may be scheduled to), and system 100 can be processed image for example to use the user 124 in disparity map (disparity mapping) identification video.In example, image capture device 126 can be the stereo camera with two or more camera lenses, and it offsets and catch simultaneously two or more images of user spatially each other.Computing machine 100 can be processed these two or more images that obtain in the identical moment, to produce disparity map, be used for using the position of specific part of each image (or at least some images) user of coordinate system (for example, Cartesian coordinates) in video health.Disparity map can illustrate the difference between the image being obtained by each skew camera lens.

In the second example, one or more sensors can be arranged as on the health that is positioned at user 124, or at a plurality of sensing location 402a-402o place near user 124 health, or user 124 can on there are the clothes of the sensor that is arranged in each position.But, in other embodiments, can determine sensing station from other sensor devices (such as device 138,140 and/or 142).About this, sensor can be the physical sensors on the clothing that is arranged in user, but in other embodiments, the determining of the relation of sensing station 402a-402o between can the body part based on two movements.Exemplarily, can determine sensing station 402a by identification user's 124 action.About this, the overall shape of user's health or part can allow to determine specific user's body part.For example, no matter whether the physical sensors (such as the sensor in one or more devices 138,140,142) whether image capture device (camera 126) is used and/or is arranged on user 124 is used, the current location that sensor can perception body part and/or the movement of following the trail of this body part.

In certain embodiments, timestamp can be added into the data (such as the part of the collection of the piece 302 in Fig. 3) of collection, timestamp indicates the special time when body part is in specific location.Sensing data can install at computing machine 102(or other via wireless or wire transmission) locate to receive.For example, such as the computing machine of computing machine 102 and/or install the position that coordinate system (, Cartesian coordinates) in 138,140,142,144 each image (or at least some images) that can stab in the processing time to use in video is determined body part.The data that receive from camera 126 can be corrected, change and/or with from the data combination of one or more other devices 138,140 and 142.

In the 3rd example, position and user that system 100 can be used Infrared image to identify to detect user 124 body part move.Exemplarily, sensor 128 can comprise infrared transceiver, and it can be the part of camera 126 or other devices, and this red transceiver can send infrared signal to use infrared signal to irradiate user 124 health.Infrared transceiver 128 can obtain from user 124 health the reflection of infrared signal.Based on this reflection, system 102 can be used coordinate system (for example, Cartesian coordinates) to determine the position at the specific part of the specific health of locating user constantly.It is identified which part is the type (one or more) of the exercise that can carry out based on user's request pre-determine, and how body part is identified.

As a part of tempering flow process, system 100 can be carried out the initial posture evaluation to user 124, a part of evaluating as the initial user in the piece 302 of Fig. 3.By with reference to Fig. 5, front portion and sidepiece image that system 100 can analysis user 124, to determine the one or more position in user's shoulder, upper back, lower back portion, buttocks, knee and ankle.Body upper sensor and/or infrared technique also can be used, individually or combining camera 126, with the position of determining each body part for posture evaluation.Exemplarily, camera 100 can be determined evaluation line 124a-g and/or region 502-512, and to determine the position of a plurality of points on user's body, the plurality of point is exemplarily for example ankle, knee, buttocks, upper back, lower back portion and shoulder.

B. identify sensitive zones

In other embodiments, system 100 can identification sensor region (for example, referring to piece 302b).In one embodiment, evaluating line 124a-g can be used for user's health partition.For example, line 124b-f can be horizontal axis.For example, " shoulder " region 502 can be associated with the body part (referring to line 124b) having around the lower boundary of user's shoulder, region 504 can and be associated at shoulder (line 124b) with to the region that the body part between approximately one half-distance of buttocks (referring to line 124c) is associated, and region 506 can cover the region between online 124c and buttocks (referring to line 124d), to comprise " lower back portion region ".Similarly, region 508 can cover the region between " buttocks " (line 124d) and " knee " (referring to line 124e), and region 510 can cover between online 124e and 124f, and region 512(is referring to " ankle ") can there is near the coboundary of line 124f.Region 502-512 can be by Further Division, such as becoming four subregions, for example, by using axis 124a and 124g.For the identification of auxiliary one or more sensitive zones, system 100 can be carried out one or more specific motions by reminding user.Exemplarily, system 100 (for example can reminding user moves specific body part or region, brandish their right arm, or with specific pattern activity left arm) with backup system 100(for example, processing is received from the computerized algorithm of the information of infrared sensor 128), to determine in which health body part or the region ad-hoc location in coordinate system.

C. classification position or region

In certain embodiments, body part not close to each other or region still can be classified into identical mobile kind (for example,, referring to piece 302).For example, as shown in Figure 5, " upper back ", " buttocks " and " ankle " region 504,508,512 can be divided into term " migration " type.In another embodiment, " lower back portion " and " knee " region 506,510 can be divided into term and " stablizes " type.Classification can be only exemplary, and in other embodiments, position or region can belong to a plurality of classification.For example Ke You region, " center of gravity "

region

504 and 506 forms.In one embodiment, " center of gravity " can comprise the part of region 504 and 506.In another embodiment, can provide " centre of moment " classification, no matter be independently or alternatively, as comprise another classification of at least a portion.In one embodiment, single position can two or more classification weightings, for example, in " stablize " classification, occupy 10% weight and occupy 90% weight in " migration " classifies.

System 100 also can be processed image to determine color or other distinguishing characteristicss of user's clothing, so that user is separated from its ambient zone.After processing, system 100 can identify the position of a plurality of points on user's health the position of following the trail of these points, such as the position 402 in Fig. 4.System 100 also can answer a question to supplement attitude evaluation by system user, such as, exemplarily, age, body weight etc.Again, piece 302 is optional, and optional according to different embodiment.

2. the bodily form is provided

By with reference to Fig. 3, in piece 304, one or more embodiment can comprise that the appropriate bodily form the reminding user that show exercise carry out this exercise.For example, outside initial attitude is evaluated or afterwards, system 100(is such as by computing machine 102) can make display 136 show to show to temper with guides user the virtual training teacher with the appropriate bodily form, and/or show the true man's that show the appropriate bodily form of taking exercise diagram and/or actual video.System 100 then reminding user starts to perform physical exercise.

By with reference to Fig. 3, in piece 306, each embodiment can comprise the user's that monitoring performs physical exercise the bodily form.As shown in Figure 6, system 100(is such as by computing machine 102) can make display 136 show users' avatar 602.Avatar 602 can synchronously move with user 124.And display 136 can show the video of actual user rather than incarnation 602.System 100 can be processed a frame or the multiframe in video, to determine at least some sensing locations 402, or can accept data from the sensor of being worn at body by user.As shown in Figure 6, sensing location 402 can be presented in avatar.

For the appropriate bodily form in many degree of physical exercise, user can be successively by a plurality of positions in the repetition of taking exercise.Particular aspects disclosed herein relates to the position of the hope that limits one or more measuring positions and/or one or more sensing location 402.Exemplarily, the specific relation between a plurality of body parts in repetition can be pointed in measuring position.Exemplarily, the position of the hope of the signable user's in measuring position body part (for example, and can be included in the relation (for example, user's trunk and the angle between thigh) of the hope between a plurality of body parts the position of the user's who wishes left ancon).For motion or a series of movement (such as tempering flow process), system 100 can limit the position of one or more measuring positions and/or hope, for the one or more sensing locations 402 for measuring position.In a plurality of embodiments, each repetition of exercise can be broken down into one or more measuring positions.

System 100(is such as by computing machine 102) can process the user's who performs physical exercise video or sensing data, with really when user's health reach measuring position.For each measuring position, system 100 can compare the sensing location of the sensing location recording and hope, the bodily form of the user while performing physical exercise to monitor.Exemplarily, the frame 1 in Fig. 6 can be corresponding to the first measuring position, and frame 2 can be corresponding to the second measuring position.System 100 can be determined in the sensing location 402c at each place, measuring position and the distance between 402d.Can be defined in other relations (such as specific angle, specific position etc.) between sensing location.

By with reference to Fig. 3, in piece 308, each embodiment can comprise the energy consumption estimation of calculating user.Calculating can be based on taking exercise type and/or user's the bodily form.Energy consumption estimation can be exemplarily for or comprise the caloric estimation being consumed by user.In certain embodiments, energy consumption calculations comprises and following relevant determining: the oxygen of making great efforts, consuming and/or user's oxygen dynamics.During exercise process or when it completes, system 100 can be informed the energy that user consumes.In one embodiment, system 100 can provide the sign of the calorie quantity that they have consumed.For the caloric estimation consuming is more accurately provided, system 100 can count the user's bodily form while performing physical exercise, and the type of the exercise of carrying out.In addition embodiment can utilize user's attribute to determine more accurately the caloric quantity being consumed by user.Example user attribute can be height, body weight, age etc.One or more sensors can be determined user property, or user can input user property to computing machine via interface, such as computing machine 102.

System 100 can be used the information of the sensing location 402 detecting at the place, measuring position of taking exercise in conjunction with one or more given values, obtains caloric definite more accurately to what consume.In one embodiment, given value can comprise task metabolic equivalent (Metabolic Equivalent of Task, i.e. MET) table or be its part.Exemplarily, MET table can be defined for specific exercise (for example, deep-knee-bend, preshoot etc.) and be used to determine and in exercise, consume how many calories.System 100 can store or corresponding to a plurality of MET table of different exercise (for example, deep-knee-bend, preshoot, rope skipping, push-up, running etc.) or addressable its.System 100 can be processed the data from video and/or sensor, to determine the multiplicity of the exercise that user has carried out or the persistence length of exercise, and the caloric quantity that can be consumed by user based on this repetition and/or persistence length information and one or more given value (such as what can obtain from MET table) estimation.

But MET table is assembly average, and the accuracy that they may not have.Therefore, depend on that traditional calorie measuring system that MET shows only provides the guestimate of the calorie quantity that they consume in exercise to user.Although embodiment of the present disclosure can be used the one or more values from MET table, aspect of the present disclosure is not subject to the not enough restriction of existing measuring system.Exemplarily, in one embodiment, user's the bodily form can be counted.System 100 can be based on detecting the sensing location information application percentage factor to the caloric estimation consuming.This scale factor can reflect the good degree of the exercise that user carries out, and can consider in a particular embodiment user's attribute.Exemplarily, scale factor can be sensing location information, persistence length that wherein user performs physical exercise, for example, by the one or more function in the information (, age, body weight) of user report, user's heart rate, pressure measuring value and/or other data that heart rate monitor is obtained.Pressure measuring value can exemplarily obtain from being arranged in the pressure transducer 140 of footwear, to determine the size of the power that user applies in movement.Exemplarily, user can grip weight thing in each hand, and pressure transducer 140 can be monitored the pressure at footwear place.Pressure transducer 140 also signable user changes nyctitropic rapid degree (for example, user carries out the degree of difficulty of crosscut (cut)) and when takeofing, has applied how much power.

In order to determine scale factor, system 100 can be in the relation between the one or more body parts of one or more measuring position place's monitoring during the repetition of taking exercise.To the change of these relations, can make to take exercise more easily or more difficult carrying out.Scale factor can count and indicate the factor whether user is making exercise be difficult to more or less, and correspondingly regulates the caloric estimation consuming.Exemplarily, in deep-knee-bend, during carrying out deep-knee-bend, can be user's trunk and the first angle between thigh and between user's thigh and the second angle between shank qualified relation.System 100 can be processed sensing location information to measure in time user's the first angle and the second angle, for the first angle with hope and the second angle comparison.

In example, by with reference to Fig. 7 A-7B, show the user's who carries out deep-knee-bend avatar 702.Avatar 702 is depicted as stick plot, and the appropriate technology of taking exercise is depicted as shadow region 704.In the lowest portion of deep-knee-bend, (for example, as shown in Figure 7 A), the bodily form of hope can show between user's thigh and shank, between user's back and arm and/or in any other two parts of user or the relation between position.In one embodiment, the bodily form of hope can show the first predetermined angular between position or part.Exemplarily, user's upper shank and lower shank and/or at user's back and the second predetermined angular between arm.System 100 can be processed sensing location information, so that the bodily form of user's the bodily form and hope is compared.Exemplarily, system 100 can be processed sensing location information to determine the thigh of user when carrying out deep-knee-bend and the angle between shank and in user's back and the angle between arm.

System 100 can limit the threshold value of the relation between each body part, for regulating scale factor.Threshold value can allow user's the bodily form with specified quantitative, to be different from the bodily form of hope.For preferred threshold value, system 100 can determine that user has does not need the good bodily form of any adjusting of the comparative example factor (for example, difference is less than 5% between user's upper shank and the angle between lower shank and the angle of hope).For acceptable threshold value, system 100 can regulate scale factor conventionally up or down, for example, to reflect user's increase or the effort of reduction (, user's upper shank and the angle between lower shank and the 5%-15% between the angle of hope difference).For unacceptable threshold value, system 100 can determine that user has reduced the amount of the effort performing physical exercise, and can regulate scale factor (for example, difference is greater than 15% between user's upper shank and the angle between lower shank and the angle of hope) downwards.

System 100 also can user makes when performing physical exercise once ignore or increase and regulate scale factor.Exemplarily, user can need the arm of the movement of arm and shank to move in exercise.And if user exceeds for tempering the additional movement of regulation, the system 100 adjustable proportion factors are to increase a calorie estimation.

After determining scale factor, system 100 can be determined the caloric amount of consumption, and it is scale factor (one or more) and calorie function of estimating.Function can be the product of calorie estimation and scale factor, or via other relations.Exemplarily, scale factor can be the adjusting to a plurality of variablees in mathematical formulae, for the calorie consuming is regulated to one or more products and and poor.In other embodiment, system 100 can be ended determine relevant with calorie consumption when user departs from threshold value.Exemplarily, user can be interrupted in degree of physical exercise, and forgets or too divert one's attention to such an extent as to could not " suspend " and determine, thus, specific embodiment can end to determine and calorie consume when user being detected and do not perform physical exercise.Other embodiment can be when one or more movement threshold be exceeded (for example, when, user's hyper-extended or deficiency stretch one's body region or part) end or otherwise changed determining of calorie consuming.In certain embodiments, injured if user's movement is easy to cause, the measurement relevant with calorie consumption and/or but underestimate and can be stopped.In one embodiment, system 100 can provide prompting and/or the instruction not enough or incorrect movement with correcting user.

Below provide for calculating the example formula of the caloric amount being consumed by user in exercise.

Formula (1): calorie=BMR*(activity modified value of consumption) * (completeness modified value)

In formula (1), BMR is the abbreviation of basal metabolic rate.System 100 can be used Mifflin-St.Jeor formula to calculate BMR, BMR=(10*w)+(6.25*h)-(5.0*a)+(male sex is 5, women is-161), wherein " * " is multiplication mark, " the body weight that w ”Shi unit is kilogram, " height that h ”Shi unit is centimetre, " age that a ”Wei unit is year.System 100 is alternative Mifflin-St.Jeor formula or use Harris-Benedict formula outside it also.

Activity modified value can be the regulated value corresponding to the exercise types of being undertaken by user.Activity modified value can be larger for the exercise of more requiring great effort, and less for more effortless exercise.System 100 can be stored the file that comprises activity modified value, and wherein each activity modified value can have the value for specific exercise types.Two or more exercises can have the activity modified value of identical value, or specific exercise can have distinctive value for activity modified value.Activity modified value can have default value.In one exemplary embodiment, default value can be 0.1.In a second embodiment, default value can be 1.0.Default value can be arbitrary value, comprises 0.0.The renewable default value of system 100, with the activity modified value corresponding to the current exercise of being undertaken by user.On the duration of taking exercise, system 100 can be used the calorie that is alerted formula (1) the calculating consumption of the different exercise of carrying out corresponding to user by different activity modified values.One or more factors can be contributed to some extent to the adjusting of activity modified value and/or modified value.Example includes but not limited to: speed, exercise types, duration and above combination.In addition, can be from predetermined value (being alerted the movement carried out or the value of exercise such as distributing to user), user's performance, the change of determining activity modified value and/or activity modified value about information and the above combination of specific exercise from MET table.

Completeness modified value can be regulated to BMR for the good degree corresponding to the user's of the bodily form of hope the bodily form when performing physical exercise.In example, the number percent of the complete movement that completeness modified value is signable to be realized for each repetition while performing physical exercise (for example, determine for the repetition of specific exercise and in user's trunk and the angle of the measurement between thigh the number percent with respect to the angle of hope) or can be the mean value (for example, finally take exercise for three times, last take exercise for five times, all take exercise etc.) of the complete mobile number percent of pre-determined number.Completeness modified value can have default value.In one exemplary embodiment, default value can be 0.1.In a second embodiment, default value can be 1.0.Default value can be arbitrary value, comprises 0.0.The good degree that the bodily form that system 100 can be based on user and the bodily form of hope conform to and upgrade in time completeness modified value.One or more factors can be contributed to some extent to the adjusting of activity modified value and/or modified value.Example includes but not limited to: speed, exercise types, duration and above combination.In addition, can be from predetermined value (being alerted the movement carried out or the value of exercise such as distributing to user), user's performance, the change of determining activity modified value and/or activity modified value about information and the above combination of specific exercise from MET table.

The formula hereinafter providing (2) can be used in other embodiment.

Formula (2): calorie=BMR*(activity modified value of consumption) * (completeness modified value) * (multiplier modified value)+(addend modified value)

Can determine according to the above-mentioned one or more embodiment that describe with reference to formula (1) BMR, activity modified value and/or the completeness modified value of formula (2).In one embodiment, can be the value that each exercise types limits multiplier modified value.In one exemplary embodiment, default value can be 0.1.In a second embodiment, default value can be 1.0.Default value can be arbitrary value, comprises 0.0.The multiplier modified value of system 100 renewable exercise periods, to be alerted the type of the exercise of carrying out corresponding to user.In certain embodiments, can obtain activity modified value from experimental data (no matter be partly or fully).

In certain embodiments, can be the value that each exercise types limits addend modified value.In one exemplary embodiment, default value can be 0.1.In a second embodiment, default value can be 1.0.Default value can be arbitrary value, comprises 0.0.The addend modified value of system 100 renewable exercise periods, to be alerted the type of the exercise of carrying out corresponding to user.In certain embodiments, can obtain activity modified value from experimental data (no matter be partly or fully).

System 100 can be calculated the calorie consuming in the duration of taking exercise, and it can be incorporated to and use formula (1) or (2).System 100 can make display show the calorie total amount of the consumption that continues change.In certain embodiments, can be the group that repetition that the one or many of each exercise completes and one or many complete and determine total amount.System 100 also can calculate and make to show the calorie that the type by the exercise of carrying out consumes.Also can calculate and show exemplarily the peak value/minimum/average calorie wear rate in exercise, repetition, group or exercise types.System 100 can be used formula (1) to determine the caloric amount that while taking exercise, user consumes periodically.The signable caloric current amount of system 100, it (for example upgrades constantly on taking exercise, continue the total amount of change), or can upgrade at the predetermined moment place calorie consumption amount (for example, user completes one group of first kind exercise and starts one group of Second Type exercise etc. in exercise process end).System 100 also can inform that user is in each calorie quantity that repeats and consume in every group of exercise.

At calorie, consume determine (for example, by formula (1)) though in one or more inputs of use and/or variable can remain unchanged and the exercise types of being undertaken by user, but other variable.Exemplarily, BMR can be identical in whole exercise, because the change indistinctively in the process of taking exercise of user's body weight, height and age.In addition, activity modified value, completeness modified value, multiplier modified value and addend modified value can changes on taking exercise.The change of value and/or value can be depending on the current exercise types of carrying out by user.

Completeness modified value can change because of repetition.Their bodily form when as mentioned above, system 100 can perform physical exercise based on user and produce completeness modified value.Generally, take exercise and comprise that a series of actions is once to repeat, and user comprises twice conventionally or the group of more times repetition.User's the bodily form can change because of repetition, and completeness modified value also can be like this.

System 100 can completeness modified value or the filtered version based on completeness modified value based on changing because of repetition be used formula (1) to determine the calorie of consumption.In order to filter completeness modified value, system 100 can exemplarily be determined the completeness corrected value that one or many repeats, can some or all in whole completeness corrected values are average, and can in formula (1), use mean value.And it is weighted mean value that system 100 can produce completeness corrected value, the completeness corrected value that some of them repeat can be endowed the larger weight compared with other.Exemplarily, system 100 can be applied attenuation function, and wherein when producing mean value, nearest completeness modified value is given more weight compared to those before for a long time.

The motion that system 100 also can allow user to wish, and calculate the caloric amount consuming for this motion.In one embodiment, the motion all detecting can be used in calculating.But in other embodiments, can only consider specific motion (for example, the system of support and/or be alerted those that carry out).System 100 can process from image capture device 126 and/or from the data of each sensor to attempt the classification of motions to user.Exemplarily, system 100 can compare user's motion and other known motions that limited MET table for it.If user's motion is corresponding to limiting the known motion of MET table for it, system 100 can be used definite MET table for calculating the caloric amount of consumption.

If the exercise that user's motion discord is limited by MET table is mated, system 100 can be determined one or more exercises of moving like the motion class that comprises and undertaken by user.Exemplarily, system 100 can determine that user's lower body and deep-knee-bend similarly move, and upper body and push-up are moved similarly.System 100 can carried out deep-knee-bend ground and use definite MET table to calculate user by the caloric quantity consuming, as the approximate value of the caloric amount being consumed by user as user carrying out push-up as user.In other embodiments, can create new entry.Thus, specific embodiment can allow this entry and new motion and/or logining of exercise and determining after a while.In certain embodiments, user can provide the approximate calorie of input consuming about undetermined motion/exercise.But in other embodiments,, system 100 can be calculated a calorie consumption, such as the one or more sensors from discussed herein.In other embodiment in addition, system 100 can be used one by one or a plurality of sensor reading and determine the attribute (such as calorie consumption) for Unknown Motion or exercise before this from user's (and/or third party) input.Do not use MET to estimate that calorie example consuming can include but not limited to determine the change of potential energy.Use the example of the change of potential energy to provide in next section.

System 100 can be configured to transmission calorie consumption and estimates to social networking website.User can be by the caloric total amount consuming for the time interval of hope based on them and grade (for example,, with gradings such as sky, week, the moon, years).By with reference to Fig. 3, method can terminate or be back to arbitrarily piece before this.

I. the energy consumption estimation of the change based on potential energy

System 100 also can be calculated the user's of the physical activity not limited by MET table energy consumption estimation.Exemplarily, system 100 can be calculated the caloric amount being consumed by the user who carries out the combination of the motion that personnel wish.At exercise period, user can be apprised of themselves body weight and gravity.Can be by the position of the barycenter of the position of user's barycenter or specific body part for estimating by the caloric amount of carrying out user's consumption of motor activity.

Fig. 8 shows the exemplary process diagram of method of energy consumption estimation that according to the exemplary embodiment change calculations based on monitoring potential energy is carried out the user of motor activity.The method can be by computer-implemented, for example exemplarily, computing machine 102, installs 138,140 and/or 142, and/or other devices.Piece shown in Fig. 8 can be re-arranged, and some pieces can be removed, and can add additional piece, and each piece can repeat one or many, and process flow diagram can repeat one or many.Process flow diagram can start at piece 802 places.

In piece 802, each embodiment can relate to the data of processing the user who carries out motor activity who catches on the time interval.In example, system 100 can be carried out repeating for 10 times of preshoot by reminding user, and can process the user's who carries out preshoot who catches data.Data can maybe can be for being gathered by infrared transceiver 128 and/or can installing sensor 138,140 and 142 videos that gather by other for being gathered by video camera 126.

In piece 804, each embodiment can relate to determine in the time interval first constantly and second moment locate the position of center of gravity of user's body part, body region or whole health.Yet in other embodiments, can use other Mobility Centers.But, for simple and clear reason, center of gravity will be discussed.In example, system 100 can guides user be arranged in the position corresponding to the center of gravity of one or more body parts of user by sensor.By with reference to Fig. 9, one or more centre of gravity places can be exemplary position 904A-D and 906 places, and other positions on user's health.Can detect the position of any amount.At least one sensor can wirelessly transmit and indicate the time of sensor and the sensing data of position (or position of the body part being detected by sensor).Position can be for example, coordinate in coordinate system (, cartesian coordinate system), and can be associated with the timestamp that indicates sensor and when be in specific coordinate.In certain embodiments, system 100 can process sensor data, to determine periodically position 904A-D and 906.Exemplarily, system 100 can receiving sensor data, for example, from device sensor 138,140 and/or 142.Other members of computing machine 102(or system 100) can deal with data, for example, as a part of determining position (position 904A-D and 906).In one embodiment, can be routinely deal with data constantly, such as four times per second.In another example, other members of computing machine 102(or system 100) can process the data from image capture device 126, to determine position 904A-D and/or 906.

In piece 806, each embodiment can relate to the change of determining from first moment to the centroid position in second moment.As mentioned above, system 100 can determine a moment and one follow-up moment place position 904A-D and 906.Exemplarily and with reference to Figure 10 A-B, user is depicted as and carries out preshoot.Figure 10 A is corresponding to first moment, and Figure 10 B corresponding to second constantly.In Figure 10 A, the height " h1 " that the position 906 of user's barycenter is positioned at is overhead located (by 908A, being indicated).In Figure 10 B, the height " h2 " that the position 906 of user's barycenter is positioned at is overhead located (by 908A, being indicated).One or more members of system 100 can be determined the difference between height " h1 " and " h2 ", to determine the position 906 of barycenter.System 100 also can be calculated the variation of the center of gravity 904A-D of other body parts, or the variation of user's body part or other positions of body region.System 100 also can be processed the user's who obtains from different angles video (as shown in figure 11), to determine position 904A-D and 906.Exemplarily, system 100 can be determined the position " h2 " of the position 906 in the height " h1 " of the position 906 in skeleton view and user's front elevation.System 100 can be measured differing heights average, maybe can use one or the other.

By with reference to Fig. 8, in piece 808, each embodiment can calculate the user's who causes due to change energy consumption estimation.In example, can be by the physical concept of potential energy for estimating the amount of the merit that completed by user, and calculate based on merit the calorie consuming.

In example, one or more members of system 100 can be determined the change from a moment to another position 906 constantly, to determine the amount of the merit of being undertaken by user.Potential energy (PE)=m*g*h, m=user's's (or body part) quality wherein, g=acceleration of gravity, and h=terrain clearance.Merit (W)=-Δ PE, where Δ represents the variation of potential energy.Substitution m*g*h, Work (W)=-m*g* Δ h.Above-mentioned example based in Figure 10 A-B, W=-m*g* (h1 – h2).System 100 can determine that the caloric amount of consumption is the function that merit is multiplied by the physiologic index of people's efficiency.System 100 can be based on merit amount and physiologic index (PHE) scale factor that consumes of people and determine the caloric amount consuming.System 100 can determine that PHE scale factor for example, as one or more function of user's heart rate, pressure sensor data and other information of being inputted by user (, age, body weight etc.).

System 100 can keep and/or transmit the total amount of the caloric lasting change consuming between the moment in succession, and informs that user is to the caloric total amount consuming till this some place in exercise process.Exemplarily, system 100 specifically frequency (for example, 2 times per second) is determined the height h of position 906, and caloric difference that can be based on consuming between the determining of each height h and calculate the calorie of consumption.System 100 also the traceable predetermined time covering one or more exercises the calorie total amount that consumes in scope.Time range can comprise the index of week, the moon, year, cumulative time or other restrictions from user starts exercise.One or more indexs can comprise the value that default value, predetermined value, at user option value and/or user limit.Exemplarily, system 100 can inform that user has consumed how many calories during the official hour stage (such as sky, week, the moon and/or year).System 100 also can keep average calory count amount that caloric par about consuming in each exercise, the type based on taking exercise consume, in single exercise or stage predetermined time (for example, wherein consumed the caloric month of maximum amount) in the data of the caloric maximum quantity that consumes, or the data of other types.

In another example, system 100 can be determined the mobile calorie consuming by the set of specific body part or body part.Exemplarily, user can wish to know that the movement of their right leg has consumed how many calories.The above-mentioned relation of use between merit and potential energy, and referring again to Fig. 9, system 100 can monitor the user from a moment to the different moment right leg barycenter position 904A(for example, height 908B) variation, to calculate merit.The quality of the body weight that system 100 can be based on user and the right leg of ratio and estimating user.System 100 can determine that the caloric amount consuming is the function that merit is multiplied by the physiologic index of people's efficiency then, as mentioned above.In exercise process, the total amount of the caloric lasting change that systemic-function 100 can consume such as the movement showing by display 136 due to user's right leg.System 100 is the position 904B-D of other limb portions based on user and the calorie that determine to consume similarly.In exercise process, system 100 can show the total amount of the caloric lasting variation being consumed by user's whole health and each limb portion.

System 100 also can allow user to check that exercise process is to determine the calorie consuming at specific place constantly.Exemplarily, exercise can relate to and carries out repetitive operation (for example, push-up).System 100 can be determined the each repetition (for example, the each repetition in group 10) in group, and is repeating the caloric quantity of middle consumption at every turn.In group, one or more members of system 100 can determine that user consumes the calorie of maximum quantity and the caloric repetition that consumes minimum quantity.In other embodiments, system 100 can be estimated caloric par.It is only exemplary statistical value, and those skilled in the art will understand easily, can carry out other and analyze, and not deviate from the scope of the present disclosure.

If exercise process relates to dissimilar exercise, the caloric amount that system 100 can be based on consuming by type and exercise types is graded.Exemplarily, exercise process can relate to 3 kinds of dissimilar exercises (for example, push-up, sit-ups, deep-knee-bend).After completing exercise process, system 100 can determine that the caloric amount that consumed by each exercise types (for example, push-up is that 10 calories, sit-ups are that 13 calories and deep-knee-bend are 18 calories), and the caloric amount based on consuming for example, by exercise types grading (, the first deep-knee-bend, the second sit-ups, the 3rd push-up).In other embodiments, energy consumption (for example, the caloric amount of consumption) can be rated and take exercise or the ideal value of flow process or the number percent in scope.Exemplarily, if ideally performed physical exercise approximately 100 calories of consumption, consumed 90 caloric first users and will for same exercise, only have been consumed 85 caloric the second user assignments to better grading.User may have different ideal values or scope, therefore determines the number percent that can use the number percent of the value detecting and/or estimate to be this user's ideal value.In other embodiments, it is higher that more close their 100% user of ideal value can have user's grading of 100% of the caloric desired quantity that exceeds consumption.Thus, consumption rate for example, for the signable inappropriate movement of user, poor efficiency, the injured possibility of increase and/or the above combination of the more energy of movable (, taking exercise) estimation or calculating.In a particular embodiment, the method for Fig. 8 can finish then, and is back to any piece and/or other processes before this.

System 100 also can be determined the calorie consuming from the video of pre-recording.Exemplarily, the video that user can upload Professional Basketball Athlete dunk shot is to system 100.One or more members of system 100 can be processed this video to determine the position of the barycenter of each sportsman of time point place or specific body part, and use the above-mentioned calorie based on merit to determine in physical activity the caloric amount of the sportsman of dunk shot (for example, by) consumption.

Conclusion

Provide the environment of an activation with one or more features described herein to provide a kind of immersion to experience to user, it participates in encouragement and excitation user motor activity and improves his or her physical efficiency.User can further be communicated by letter and challenge each other by social networks, to reach various body-building levels, and the gentle activity of forge water of checking them.

In conjunction with its exemplary embodiment, the aspect of embodiment is described.Those of ordinary skills can predict a plurality of other embodiment, change and the change in the scope and spirit of described claim by checking the disclosure.Exemplarily, those skilled in the art just understand the order that the step shown in example view can be different from described order and carry out, and the one or more steps that illustrate in aspect can be optionally according to an embodiment of the invention.

Claims

1. a computer-implemented method, comprising:

At primary importance place, reminding user performs physical exercise;

At this primary importance place, by the monitoring of first sensor at least, carry out the user's of described exercise the bodily form; With

Type by processor based on described exercise and described user's the bodily form calculate the user's who carries out described exercise energy consumption estimation.

2. the method for claim 1, the calculating of wherein said energy consumption estimation is used for the task metabolic equivalent (MET) of this exercise types to be determined.

3. the method for claim 1, wherein said energy consumption estimation is the basal metabolic rate based on this user.

4. the method for claim 1, following formula has been used in the calculating of wherein said energy consumption estimation:

Calorie=BMR*(activity the modified value consuming) * (completeness modified value)

Wherein BMR is user's basal metabolic rate, and activity modified value is the regulated value corresponding to the type of this exercise, and completeness modified value is the bodily form regulated value how with respect to the hope of this exercise corresponding to user's the bodily form.

5. the method for claim 1, the monitoring of the wherein said bodily form is based on to carrying out the user's of described exercise the processing of video.

6. the method for claim 1, the monitoring of the wherein said bodily form comprises:

Process described user's infrared external reflection.

7. the method for claim 1, the monitoring of the wherein said bodily form is based on not locating in the same time to identify the first body part of described user with respect to the position of at least the second body part of described user.

8. method as claimed in claim 7, at least a portion of the position of wherein said body part be based on from be arranged in a plurality of sensors on described user's health one or more data, process described user's video and process described user's infrared external reflection and determined.

9. the method for claim 1, the calculating of wherein said energy consumption estimation comprises based on the described bodily form increases or reduces described estimation.

10. a tangible computer-readable medium, it comprises computer executable instructions, and this computer executable instructions carries out a method when being performed, and the method comprises:

At primary importance place, reminding user performs physical exercise;

Type based on described exercise and described user's the bodily form calculate the user's who carries out described exercise energy consumption estimation.

11. computer-readable mediums as claimed in claim 10, wherein said energy consumption estimation is the basal metabolic rate based on this user.

12. computer-readable mediums as claimed in claim 10, following formula has been used in the calculating of wherein said energy consumption estimation:

Calorie=BMR*(activity the modified value consuming) * (completeness modified value),

13. computer-readable mediums as claimed in claim 10, the monitoring of the wherein said bodily form is based on to carrying out the user's of described exercise the processing of video, or the processing based on to described user's infrared external reflection.

14. computer-readable mediums as claimed in claim 10, the calculating of wherein said energy consumption estimation comprises based on the described bodily form increases or reduces described estimation.

15. 1 kinds of devices, comprising:

At least one processor; With

At least one storer, its storage makes described device at least carry out the instruction of the following step when being performed:

At primary importance place, reminding user performs physical exercise;

16. devices as claimed in claim 15, the basal metabolic rate of wherein said energy consumption estimation based on this user.

17. devices as claimed in claim 15, following formula has been used in the calculating of wherein said energy consumption estimation:

18. devices as claimed in claim 15, the monitoring of the wherein said bodily form is based on to carrying out the user's of described exercise the processing of video.

19. devices as claimed in claim 15, the monitoring of the wherein said bodily form is based on to carrying out the user's of described exercise the processing of infrared external reflection.

20. devices as claimed in claim 15, the calculating of wherein said energy consumption estimation comprises based on the described bodily form increases or reduces described estimation.